Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

A Deep-Learning multi-purpose chatbot made using Python3

📹 Collection of my Youtube Tutorials over the years! Read, write, and share what you create ✨🎈

yet another custom data science template via cookiecutter

ByteHub: making feature stores simple

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification.

Stocks and options picking. Tries to contain predictive analytics, recommendations, and calculators.

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement

Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of 66% on approx. 125000 matches

📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).

Discord bot for coronavirus (COVID-19) , With Ai [Machine learning algorithms] integrated into it

An end-to-end batch scoring machine learning system that produces hourly predictions of the number of arrivals and departures that will take place at various stations in Lyft's bike sharing system in Chicago.

Executor plugin interfacing Covalent with Slurm

Draw in the air with your favorite pointer

CNN to detect Pneumonia using Chest X-Rays

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

My undergraduate Final Year Project awarded as the Excellent Bachelor's Project. It develops a vision-based sign language recognition system with multiple machine-learning models, which currently can recognize 10 static and 2 dynamic gesutures in ASL with testing accuracy of 99.68%.

First AI programming with Python project